Analyst Claims Bittensor (TAO) Could Outvalue Bitcoin (BTC): Here’s Why

Debate around Bitcoin and newer AI-driven crypto projects picked up again this week after fresh commentary compared Bittensor directly with BTC, raising questions about whether value in crypto is starting to move beyond simple store of value narratives.

Crypto analyst Tanaka shared a detailed breakdown that puts Bittensor at the center of this discussion, especially as AI becomes a larger part of the digital economy.

Tanaka points out that Bittensor shares several core features with Bitcoin. Both assets follow a capped supply model of 21 million coins, and both use a halving cycle that reduces emissions every 4 years. The launch structure also follows a similar path, with no premine and no venture capital allocation.

That similarity creates a familiar foundation, yet the key difference lies in what each network produces. Bitcoin relies on Proof of Work, where energy secures the network. Bittensor introduces Proof of Useful Work, where the same type of energy use produces AI-related outputs.

Tanaka explains that this difference changes how value is created within each system. Bitcoin secures transactions and acts as a store of value. Bittensor uses similar economic incentives but directs them toward generating AI models, data processing, and computational output.

Barry Silbert Perspective Shows Difference Between Security And Productivity

Tanaka references insights from Barry Silbert, who highlights how Bitcoin spends billions each year to maintain network security. That cost secures the system, though it does not produce additional external utility beyond the network itself.

Bittensor directs those incentives into productive output. Resources are used to generate AI models, training data, and computational results that can be used across different applications. That shift turns network participation into something that produces usable results.

Tanaka views this as a key difference in how value flows through each ecosystem. Bitcoin remains strong as a monetary layer, though Bittensor positions itself as a system that creates and distributes intelligence.

TAO Growth Stage Compared To Early Bitcoin Phase

Tanaka places strong emphasis on timing. Bitcoin has existed for about 17 years and now holds a large market position. Bittensor is only about 4 years old and still building out its infrastructure.

That gap creates a different type of opportunity. Tanaka compares the current stage of TAO to Bitcoin around 2011, when adoption remained low and infrastructure was still developing.

The difference in maturity also affects potential upside. Bitcoin has already reached global recognition, which limits the scale of rapid growth compared to its early years. Bittensor still operates in a phase where expansion can occur at a faster rate if adoption continues.

TAO Narrative Expands Beyond Money Into Ownership Of Intelligence

Bitcoin focuses on ownership of money and decentralization of financial control. Tanaka believes Bittensor expands that idea into ownership of intelligence.

The network allows participants to train models and contribute computational resources, which creates a system where AI development does not rely on centralized companies. That structure opens the possibility for individuals to monetize AI output directly.

Tanaka describes this as a new economic layer that builds on top of existing digital systems. The shift moves from financial ownership toward control of data, models, and intelligence.

Recent market behavior adds context to this thesis. Tanaka notes that TAO has outperformed BTC during periods where AI related narratives become more prominent.

Read Also: Crypto Price Predictions for Today, March 21: XRP, Bitcoin, Solana

Institutional interest has also started to appear, with involvement from firms such as Grayscale and increased exchange listings. Those developments suggest that larger players are beginning to pay attention to the sector.

Bitcoin still holds its position as a core asset within the market. Tanaka makes that clear and confirms continued exposure to BTC. The comparison focuses on upside potential and positioning within the AI-driven phase of crypto development.

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